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Algorithms 2018,11, 66 Due to Lemma 4, the optimality box OB(πk,T) with the largest relative perimeter for the originalproblem1|pLi ≀ pi≀ pUi |∑Ci isdeterminedas theCartesianproductof theoptimalityboxes OB(π(d),T(d))andOB(π(f∗),T(f))constructedforthesubproblemsPd∈P2 andPf ∈P1, respectively. The following equality holds:OB(πk,T)=×Pf∈P1OB(π(f ∗),T(f))×(×Pd∈P2OB(π(d),T(d))). Thepermutationπkwiththelargest lengthof therelativeperimeterof theoptimalityboxOB(πk,T) for theproblem1|pLi ≀ pi≀ pUi |∑Ci isdeterminedastheconcatenationof thecorrespondingpermutations π(f ∗)andπ(d).Usingthecomplexitiesof theProcedures1and3,weconcludethat thetotalcomplexityof thedescribedalgorithm(wecall itProcedure4)canbeestimatedbyO(nlogn). Lemma5. Within constructing a permutation πk with the largest relative perimeter of the optimality box OB(πk,T), any job Jimaybemovedonlywithin theblocksB(Ji). Proof. Let job Ji be located in the block Br in the permutation πk such that Ji ∈ Br. Then, either the inequality pLv > pUi or the inequality p U v < pLi holds for each job Jv ∈ Br. If pLv > pUi , job Ju dominates job Ji (duetoTheorem2). If pUv < pLi , job Jidominates job Ju.Hence, if job Ji is located in thepermutationπkbetween jobs Jv∈Br and Jw∈Br, thenOB(πk,T)=∅duetoDeïŹnition2. DuetoLemma5, if job Ji isïŹxedin theblockBk∈B (or isnon-ïŹxedbutdistributedto theblock Bk∈B), then job Ji is locatedwithin the jobs fromtheblockBk inanypermutationπkwith the largest relativeperimeterof theoptimalityboxOB(πk,T). 4.AnAlgorithmforConstructingaJobPermutationwiththeLargestRelativePerimeterof the OptimalityBox Basedonthepropertiesof theoptimalitybox,wenextdevelopAlgorithm2forconstructingthe permutationπk for theproblem1|pLi ≀ pi≀ pUi |∑Ci,whoseoptimalityboxOB(πk,T)has the largest relativeperimeteramongallpermutations in thesetS. Algorithm2 Input: Segments [pLi ,p U i ] for the jobs Ji∈J . Output: Thepermutationπk∈Swiththe largest relativeperimeterPerOB(πk,T). Step1: IF theconditionofTheorem3holds THENOB(πk,T)=∅ foranypermutationπk∈SSTOP. Step2: IF theconditionofTheorem4holds THENconstruct thepermutationπk∈S suchthatPerOB(πk,T)=n usingProcedure2described in theproofofTheorem4STOP. Step3:ELSEdetermine thesetBofallblocksusingthe O(n logn)-Procedure1described in theproofofLemma1 Step4: IndextheblocksB={B1.B2, . . . ,Bm}accordingto increasing leftboundsof theircores (Lemma3) Step5: IFJ =B1THENproblem1|pLi ≀ pi≀ pUi |∑Ci is calledproblemP1 (Theorem5)set i=0GOTOstep8ELSEset i=1 Step6: IF thereexist twoadjacentblocksBr∗ ∈BandBr∗+1∈B such thatBr∗ ∩Br∗+1=∅; let rdenote theminimumof theabove index r∗ in theset{1,2, . . . ,m}THENdecompose theproblemP into subproblemP1with thesetof jobsJ1=âˆȘrk=1Bk andsubproblemP2 with thesetof jobsJ2=âˆȘmk=r+1BkusingLemma4; setP=P1,J =J1,B={B1,B2, . . . ,Br}GOTOstep7ELSE Step7: IFB ={B1}THENGOTOstep9ELSE Step8:Construct thepermutationπs(i)withthe largest relativeperimeter PerOB(πs(i),T)usingProcedure3described in theproofof Theorem5 IF i=0orJ2=BmGOTOstep12ELSE 30
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Algorithms for Scheduling Problems
Titel
Algorithms for Scheduling Problems
Autoren
Frank Werner
Larysa Burtseva
Yuri Sotskov
Herausgeber
MDPI
Ort
Basel
Datum
2018
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-03897-120-7
Abmessungen
17.0 x 24.4 cm
Seiten
212
Schlagwörter
Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
Kategorien
Informatik
Technik
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Algorithms for Scheduling Problems